What is Reinforcement Learning?
Reinforcement learning is a type of machine learning where an agent learns to take actions to achieve a specific goal. It's like training a dog to fetch, but with more math.
Here, we will explore various aspects of reinforcement learning, from its applications to the types of algorithms used.
Types of Algorithms
In this section, we will cover the different types of algorithms used in reinforcement learning, including Q-Learning, Policy Gradient, and SARSA.
Learn about Q-Learning | Discover Policy GradientMarkov Chains
Markov chains are a fundamental concept in reinforcement learning, where we have a sequence of random variables that are stochastically dependent on the previous variables.
Learn about Markov Processes | Understand Transition ProbabilitiesAnd that's just the tip of the iceberg, folks! Reinforcement learning has many more exciting topics to explore, so stay tuned!